{"id":"https://openalex.org/W4402437444","doi":"https://doi.org/10.1145/3674029.3674061","title":"Football Penalty Kick Prediction Model Based on Kicker's Pose Estimation","display_name":"Football Penalty Kick Prediction Model Based on Kicker's Pose Estimation","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4402437444","doi":"https://doi.org/10.1145/3674029.3674061"},"language":"en","primary_location":{"id":"doi:10.1145/3674029.3674061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674029.3674061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036871199","display_name":"Josue Salazar","orcid":"https://orcid.org/0000-0002-8218-6923"},"institutions":[{"id":"https://openalex.org/I65285256","display_name":"Pontificia Universidad Cat\u00f3lica del Per\u00fa","ror":"https://ror.org/00013q465","country_code":"PE","type":"education","lineage":["https://openalex.org/I65285256"]}],"countries":["PE"],"is_corresponding":true,"raw_author_name":"Josue Angel Mauricio Salazar","raw_affiliation_strings":["Graduate School, Pontificia Universidad Católica Del Perú, Peru"],"raw_orcid":"https://orcid.org/0000-0002-8218-6923","affiliations":[{"raw_affiliation_string":"Graduate School, Pontificia Universidad Católica Del Perú, Peru","institution_ids":["https://openalex.org/I65285256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079761829","display_name":"Hugo Alatrista-Salas","orcid":"https://orcid.org/0000-0001-5252-4728"},"institutions":[{"id":"https://openalex.org/I65285256","display_name":"Pontificia Universidad Cat\u00f3lica del Per\u00fa","ror":"https://ror.org/00013q465","country_code":"PE","type":"education","lineage":["https://openalex.org/I65285256"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Hugo Alatrista-Salas","raw_affiliation_strings":["Graduate School, Pontificia Universidad Católica Del Perú, Peru"],"raw_orcid":"https://orcid.org/0000-0001-5252-4728","affiliations":[{"raw_affiliation_string":"Graduate School, Pontificia Universidad Católica Del Perú, Peru","institution_ids":["https://openalex.org/I65285256"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036871199"],"corresponding_institution_ids":["https://openalex.org/I65285256"],"apc_list":null,"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51549072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/football","display_name":"Football","score":0.7580298781394958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6688405275344849},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5718485713005066},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5440858602523804},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4412488043308258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38345372676849365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3793202340602875},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19740229845046997}],"concepts":[{"id":"https://openalex.org/C2778444522","wikidata":"https://www.wikidata.org/wiki/Q1081491","display_name":"Football","level":2,"score":0.7580298781394958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6688405275344849},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5718485713005066},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5440858602523804},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4412488043308258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38345372676849365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3793202340602875},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19740229845046997},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674029.3674061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674029.3674061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2064675550","https://openalex.org/W2080873731","https://openalex.org/W2097151019","https://openalex.org/W2099333815","https://openalex.org/W2101032778","https://openalex.org/W2137591992","https://openalex.org/W2478692590","https://openalex.org/W2590146393","https://openalex.org/W2739360936","https://openalex.org/W2966735886","https://openalex.org/W2986352270","https://openalex.org/W2990165697","https://openalex.org/W2999938717","https://openalex.org/W3019295470","https://openalex.org/W3020771351","https://openalex.org/W3039581541","https://openalex.org/W3094150987","https://openalex.org/W3097539092","https://openalex.org/W3123905019","https://openalex.org/W3183673520","https://openalex.org/W3199567699","https://openalex.org/W4212986483","https://openalex.org/W4220720951","https://openalex.org/W4291144399","https://openalex.org/W4308770879","https://openalex.org/W4312396403","https://openalex.org/W4321843646","https://openalex.org/W4385805127","https://openalex.org/W4386781846","https://openalex.org/W4386967531","https://openalex.org/W4389430914","https://openalex.org/W4390874575"],"related_works":["https://openalex.org/W1971660097","https://openalex.org/W2365990048","https://openalex.org/W2015477300","https://openalex.org/W2237606652","https://openalex.org/W2370570388","https://openalex.org/W2353353369","https://openalex.org/W2372339450","https://openalex.org/W2736638679","https://openalex.org/W4313046826","https://openalex.org/W1968716783"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"an":[3],"innovative":[4],"methodology":[5],"for":[6],"predicting":[7],"penalty":[8,30],"kicks":[9],"in":[10],"football":[11],"based":[12],"on":[13],"the":[14,18,24,44,50,53,57,69,72,75,80],"pose":[15,41],"estimation":[16,42],"of":[17,26,29,52,71,74],"kicker.":[19],"Our":[20],"proposal":[21],"starts":[22],"with":[23],"construction":[25],"a":[27],"corpus":[28],"kick":[31,58],"videos.":[32],"Then,":[33],"we":[34],"combine":[35],"semantic":[36],"video":[37],"segmentation":[38],"and":[39,46],"3D":[40],"using":[43],"TAM":[45],"MMPose":[47],"methods.":[48],"For":[49],"prediction":[51,81],"goal":[54],"area":[55],"where":[56],"would":[59],"land,":[60],"three":[61],"deep-learning":[62],"models":[63],"were":[64],"compared,":[65],"as":[66,68],"well":[67],"study":[70],"part":[73],"player\u2019s":[76],"body":[77],"that":[78],"affects":[79],"task.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}